Diego Leong - Jonathan Montgomery - Aiym Islamova - Sebastian ...
Undergraduate Category: Engineering and Technology Degree Level: Undergraduate Abstract ID#: 1214
Evaluating Driver Perception of Road Hazards with EEG Diego Leong - Jonathan Montgomery - Aiym Islamova - Sebastian Montoya Instructor: Yingzi Lin Facilitator: Bo Liang
Background Information The implementation of sensor technology in automobiles is an important measure to avoid accidents. EEG (electroencephalogram) devices have been used to examine driver fatigue, distractions, and performance. Volvo’s City Safety technology helps drivers avoid rear-ending other drivers in slow-moving traffic. The Highway Loss Data Institute found that the Volvo XC60 and S60 models equipped with this technology had 15% and 16% fewer insurance claims that models without this technology [1]. The brain activity of a driver increases when he/she perceives a road hazard. This brain activity can be quantitatively measured with an EEG device. Previous experiments have used EEG devices to monitor driver alertness and preoccupation [2] [3] . Hazard perception has been measured by performance [4]. No studies were found where EEG has been used to monitor brain channel activation when a test subject perceives a road hazard.
Abstract Accident preventive technology is increasingly being integrated into automobiles in the form of sensors. Implementing biological sensors into automobiles would further help prevent the occurrence of road accidents. The purpose of this study is to investigate how human test subjects perceive road hazards in a simulated environment. It examines if there is a detectable pattern of activated brain channels measured with an EEG (Electroencephalogram) device. A discernable pattern in activated brain channels is of use to sensor technology in automobile driver seats where it can alert the vehicle that the driver has detected a hazard and assist in implementing preventive measures.
Research Objectives Objective 1: Develop the test bed by programming and communicating visual stimuli presentation interface with physiological sensors (Encephalography-EEG, Skin Conductance-SC, Electrocardiogram-ECG). Objective 2: Conduct the experiment with up to 50 participants, who have valid U.S. driver license and at least 2 years of driving experience. Objective 3: Perform data analysis on the physiological signals and behavioral performance (reaction time) to reveal driver’s cognitive level and perception of tested driving situations (e.g. sudden lane changing in traffic, jaywalking pedestrians, cyclists, etc.).
Potential Conclusions 23rd
6th
The experiment is to be conducted between the of March and the of April. Comparative analysis between participants of output data from the three physiological sensors used may reveal useful information. This includes potential findings that specific brain channels are activated on the EEG spectrum across the test subjects. This would provide a basis for sensor manufacturers to investigate and prototype next generation automobile sensors. This potentially could include a sensor with capabilities of an EEG to monitor the drivers mental state. If the data analysis reveals that specific brain channels are activated when a driver perceives a hazard, then this sensor could activate the cars preventive maneuvers such as stopping/slowing down.
References [1] Highway Loss Data Institute. 2012. Volvo City Safety loss experience - an update. Loss Bulletin Vol. 29, No. 23. Arlington, VA. [2] Savage, Steven W., Douglas David Potter, and Benjamin W. Tatler. "Does Preoccupation Impair Hazard Perception? A Simultaneous EEG and Eye Tracking Study." ResearchGate. The University of Dundee, 05 Mar. 2015. Web. 05 Feb. 2016. [3] Liang, S. F., C. T. Lin, R. C. Wu, Y. C. Chen, T. Y. Huang, and T. P. Jung. “Monitoring Driver’s Alertness based on the driving performance estimation and the EEG power spectrum.” 2005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Shanghai, China, 31 August - 03 September 2005. University System of Taiwan, 04 Sept. 2005. Web. 5 Feb. 2016. [4] Smith SS, Horswill MS, Chambers B, Welton M. “Hazard perception in novice and experienced drivers: the effects of sleepiness.” Centre for Accident Research & Road Safety. Apr 17 2009. Epublished. http://www.ncbi.nlm.nih.gov/pubmed/19540961
Valid U.S. license 2 years of experience
Setup physiological sensors on a subject
Test subjects on hazard detection via visual stimuli
Incentives
Expected Results • Patterns of the physiological and behavioral responses • If hypothesis that a certain part of the brain is activated when driver detects a hazard, a device with similar functionality to an EEG device could monitor brain activity while driving • Practical warning methodology • Active hazard detection assistance system that increases the driving safety
Evaluating Driver Perception of Road Hazards with EEG Diego Leong - Jonathan Montgomery - Aiym Islamova - Sebastian Montoya Instructor: Yingzi Lin Facilitator: Bo Liang
Background Information The implementation of sensor technology in automobiles is an important measure to avoid accidents. EEG (electroencephalogram) devices have been used to examine driver fatigue, distractions, and performance. Volvo’s City Safety technology helps drivers avoid rear-ending other drivers in slow-moving traffic. The Highway Loss Data Institute found that the Volvo XC60 and S60 models equipped with this technology had 15% and 16% fewer insurance claims that models without this technology [1]. The brain activity of a driver increases when he/she perceives a road hazard. This brain activity can be quantitatively measured with an EEG device. Previous experiments have used EEG devices to monitor driver alertness and preoccupation [2] [3] . Hazard perception has been measured by performance [4]. No studies were found where EEG has been used to monitor brain channel activation when a test subject perceives a road hazard.
Abstract Accident preventive technology is increasingly being integrated into automobiles in the form of sensors. Implementing biological sensors into automobiles would further help prevent the occurrence of road accidents. The purpose of this study is to investigate how human test subjects perceive road hazards in a simulated environment. It examines if there is a detectable pattern of activated brain channels measured with an EEG (Electroencephalogram) device. A discernable pattern in activated brain channels is of use to sensor technology in automobile driver seats where it can alert the vehicle that the driver has detected a hazard and assist in implementing preventive measures.
Research Objectives Objective 1: Develop the test bed by programming and communicating visual stimuli presentation interface with physiological sensors (Encephalography-EEG, Skin Conductance-SC, Electrocardiogram-ECG). Objective 2: Conduct the experiment with up to 50 participants, who have valid U.S. driver license and at least 2 years of driving experience. Objective 3: Perform data analysis on the physiological signals and behavioral performance (reaction time) to reveal driver’s cognitive level and perception of tested driving situations (e.g. sudden lane changing in traffic, jaywalking pedestrians, cyclists, etc.).
Potential Conclusions 23rd
6th
The experiment is to be conducted between the of March and the of April. Comparative analysis between participants of output data from the three physiological sensors used may reveal useful information. This includes potential findings that specific brain channels are activated on the EEG spectrum across the test subjects. This would provide a basis for sensor manufacturers to investigate and prototype next generation automobile sensors. This potentially could include a sensor with capabilities of an EEG to monitor the drivers mental state. If the data analysis reveals that specific brain channels are activated when a driver perceives a hazard, then this sensor could activate the cars preventive maneuvers such as stopping/slowing down.
References [1] Highway Loss Data Institute. 2012. Volvo City Safety loss experience - an update. Loss Bulletin Vol. 29, No. 23. Arlington, VA. [2] Savage, Steven W., Douglas David Potter, and Benjamin W. Tatler. "Does Preoccupation Impair Hazard Perception? A Simultaneous EEG and Eye Tracking Study." ResearchGate. The University of Dundee, 05 Mar. 2015. Web. 05 Feb. 2016. [3] Liang, S. F., C. T. Lin, R. C. Wu, Y. C. Chen, T. Y. Huang, and T. P. Jung. “Monitoring Driver’s Alertness based on the driving performance estimation and the EEG power spectrum.” 2005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Shanghai, China, 31 August - 03 September 2005. University System of Taiwan, 04 Sept. 2005. Web. 5 Feb. 2016. [4] Smith SS, Horswill MS, Chambers B, Welton M. “Hazard perception in novice and experienced drivers: the effects of sleepiness.” Centre for Accident Research & Road Safety. Apr 17 2009. Epublished. http://www.ncbi.nlm.nih.gov/pubmed/19540961
Valid U.S. license 2 years of experience
Setup physiological sensors on a subject
Test subjects on hazard detection via visual stimuli
Incentives
Expected Results • Patterns of the physiological and behavioral responses • If hypothesis that a certain part of the brain is activated when driver detects a hazard, a device with similar functionality to an EEG device could monitor brain activity while driving • Practical warning methodology • Active hazard detection assistance system that increases the driving safety
